Risk Management with MATLAB

Risk professionals must reduce model development times and develop and implement applications that are transparent, consistent, and scalable.

Learn how you can use MATLAB® to develop and scale risk models, test against new requirements, and run extensive what-if scenarios with:

  • Ready-to-use code examples for credit, market, counterparty, and other risk applications
  • Supporting application examples, including video tutorials and technical articles
  • A selection of examples submitted by the MATLAB community

Market Risk


Operational Risk


Credit Risk


Liquidity Risk


Systemic Risk


Counterparty Risk


Economic Capital


Fraud, Conduct, and Compliance


Stress Testing


Risk Parity/Smart Beta


Commodity Risk

30-Day Free Trial

Try MATLAB, Simulink, and more.

Get started